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Description:
Alpaca, a fast-growing fintech company, is looking for a Senior Data Engineer to design and develop the data management layer for their platform.
The role involves handling financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for internal and external users.
The team processes hundreds of millions of events daily and prioritizes open-source solutions, utilizing Google Cloud Platform (GCP) for data infrastructure.
Responsibilities include designing ETL patterns, developing scalable transformation layers, maintaining the Alpaca Data Lakehouse architecture, collaborating with various teams, and managing production issues.
The position is fully remote and distributed.
Requirements:
Proven experience in building data engineering solutions using open-source infrastructure.
Proficiency in Python and SQL, with experience in at least one programming language.
Familiarity with cloud-native technologies like Docker, Kubernetes, and Helm.
Strong hands-on experience with relational database systems and building scalable transformation layers.
Ability to work in a fast-paced environment, adapt solutions to changing business needs, and experience with ETL technologies like Airflow and Airbyte.
Production experience with streaming systems like Kafka, exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), and deep knowledge of distributed systems, storage, transactions, and query processing.
Benefits:
Competitive Salary & Stock Options.
Health benefits starting on day 1, including Medical, Dental, Vision in the US, supplemental health care in Canada, and a stipend internationally.
New Hire Home-Office Setup: One-time USD $500.
Monthly Stipend: USD $150 per month via a Brex Card.
Opportunity to work with a diverse and global team, innovative partners, and cool clients.